Merge pull request #2511 from eurodatacube/adding-biomass-data

feat: add 5 new biomass datasets from VEDA

app/public/data/trilateral/Field_burning_Monthly-EPA.md

@@ -0,0 +1,17 @@
+## Gridded 2012 EPA Methane Emissions - Field Burning (monthly)
+
+## Dataset Description: 
+Dataset represents a gridded inventory of U.S. anthropogenic methane emissions from various sources. The inventory is designed to be consistent with the 2016 U.S. EPA [Inventory of U.S. Greenhouse Gas Emissions and Sinks](https://www.epa.gov/ghgemissions/us-greenhouse-gas-inventory-report-1990-2014) estimates for the year 2012, which presents national totals for different source types. The gridded inventory was developed using a wide range of databases at the state, county, local, and point source level to allocate the spatial and temporal distribution of emissions for individual source types.
+
+This data can be used by researchers to better compare the national-level inventory with measurement results that may be at other scales.
+
+- Resolution: 0.1° x 0.1°
+- GeographicalCoverage: North America (-128, 23, -72, 52)
+- TemporalAvailability: 2012-01-01 - 2012-12-31
+- TemporalResolution: monthly
+- Provider: "[EPA](https://www.epa.gov/ghgemissions/gridded-2012-methane-emissions)"
+- Host: "[VEDA](https://www.earthdata.nasa.gov/esds/veda)"
+
+## Data Access
+
+- "[VEDA Catalog](https://staging-stac.delta-backend.com/collections/EPA-monthly-emissions_4F_Field_Burning)"

app/public/data/trilateral/Forest_fire_Methane_Daily-EPA.md

@@ -0,0 +1,17 @@
+## Gridded 2012 EPA Methane Emissions - Forest Fires (daily)
+
+## Dataset Description: 
+Dataset represents a gridded inventory of U.S. anthropogenic methane emissions from various sources. The inventory is designed to be consistent with the 2016 U.S. EPA [Inventory of U.S. Greenhouse Gas Emissions and Sinks](https://www.epa.gov/ghgemissions/us-greenhouse-gas-inventory-report-1990-2014) estimates for the year 2012, which presents national totals for different source types. The gridded inventory was developed using a wide range of databases at the state, county, local, and point source level to allocate the spatial and temporal distribution of emissions for individual source types.
+
+This data can be used by researchers to better compare the national-level inventory with measurement results that may be at other scales.
+
+- Resolution: 0.1° x 0.1°
+- GeographicalCoverage: North America (-128, 23, -72, 52)
+- TemporalAvailability: 2012-01-01 - 2012-12-31
+- TemporalResolution: daily
+- Provider: "[EPA](https://www.epa.gov/ghgemissions/gridded-2012-methane-emissions)"
+- Host: "[VEDA](https://www.earthdata.nasa.gov/esds/veda)"
+
+## Data Access
+
+- "[VEDA Catalog](https://staging-stac.delta-backend.com/collections/EPA-daily-emissions_5_Forest_Fires)"

app/public/data/trilateral/Forest_fire_Methane_Yearly-EPA.md

@@ -0,0 +1,17 @@
+## Gridded 2012 EPA Methane Emissions - Forest Fires
+
+## Dataset Description: 
+Dataset represents a gridded inventory of U.S. anthropogenic methane emissions from various sources. The inventory is designed to be consistent with the 2016 U.S. EPA [Inventory of U.S. Greenhouse Gas Emissions and Sinks](https://www.epa.gov/ghgemissions/us-greenhouse-gas-inventory-report-1990-2014) estimates for the year 2012, which presents national totals for different source types. The gridded inventory was developed using a wide range of databases at the state, county, local, and point source level to allocate the spatial and temporal distribution of emissions for individual source types.
+
+This data can be used by researchers to better compare the national-level inventory with measurement results that may be at other scales.
+
+- Resolution: 0.1° x 0.1°
+- GeographicalCoverage: North America (-128, 23, -72, 52)
+- TemporalAvailability: 2012-01-01 - 2012-12-31
+- TemporalResolution: yearly composite
+- Provider: "[EPA](https://www.epa.gov/ghgemissions/gridded-2012-methane-emissions)"
+- Host: "[VEDA](https://www.earthdata.nasa.gov/esds/veda)"
+
+## Data Access
+
+- "[VEDA Catalog](https://staging-stac.delta-backend.com/collections/EPA-annual-emissions_5_Forest_Fires)"

app/public/data/trilateral/HLS_NDVI.md

@@ -0,0 +1,14 @@
+## Normalized difference vegetation index from HLS
+
+## Dataset Description:
+
+Dataset represents a NDVI calculated from Harmonized Landsat and Sentinel-2 Data over Punta Gorda, Florida, USA.
+
+- GeographicalCoverage: [-82.37,26.31,-81.9,27.03]
+- TemporalAvailability: 2022-09-05 - 2022-09-30
+- TemporalResolution: individual dates
+- Host: "[VEDA](https://www.earthdata.nasa.gov/esds/veda)"
+
+## Data Access
+
+- "[VEDA Catalog](https://staging-stac.delta-backend.com/collections/hls-ndvi)"

app/public/data/trilateral/LIS_Global_DA_Evap.md

@@ -0,0 +1,14 @@
+# Evapotranspiration - LIS 10km Global DA
+
+## Dataset Description: 
+Dataset represents Gridded total evapotranspiration (in kg m-2 s-1) from 10km global LIS with assimilation.
+
+- Resolution: 10km
+- GeographicalCoverage: Global
+- TemporalAvailability: 2002-08-02 - 2021-12-01
+- TemporalResolution: daily
+- Host: "[VEDA](https://www.earthdata.nasa.gov/esds/veda)"
+
+## Data Access
+
+- "[VEDA Catalog](https://staging-stac.delta-backend.com/collections/lis-global-da-evap)"

app/public/legends/legends.json

@@ -364,6 +364,32 @@
             "cm": [[0, [56, 56, 148]], [2,[82, 133, 140]], [4,[111, 213, 132]], [6,[136, 210, 111]], [8,[155, 116, 78]], [10,[175, 28, 47]]],
             "label": "Turbidity [NTU]",
             "ticks": [0, 2, 4, 6, 8, 10]
+        },
+        "EPA_Forest_fire_Methane_Yearly": {
+            "range": [0, 2],
+            "cm": "rainbow",
+            "label": "*10^10[molec/cm2/s]"
+        },
+        "EPA_Forest_fire_Methane_Daily": {
+            "range": [0, 2],
+            "cm": "rainbow",
+            "label": "*10^12[molec/cm2/s]"
+        },
+        "EPA_Field_burning_Monthly": {
+            "range": [0, 4.5],
+            "cm": "rainbow",
+            "label": "*10^9[molec/cm2/s]"
+        },
+        "LIS_Global_DA_Evap": {
+            "range": [0, 100],
+            "cm": "viridis",
+            "label": "mg/m2/s"
+        },
+        "HLS_NDVI": {
+            "range": [-1, 1],
+            "cm": "cfastie",
+            "label": "NDVI",
+            "ticks": [-1, -0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8, 1]
         }
     },
     "gtif": {

app/src/components/IndicatorData.vue

@@ -155,7 +155,7 @@ export default {
   },
   mounted() {
     const d = this.indicatorObject.time[this.indicatorObject.time.length - 1];
-    if (d.toFormat) {
+    if (d?.toFormat) {
       const formatted = d.toFormat('dd. MMM');
       this.dataLayerTime = {
         value: formatted,

app/src/components/map/Map.vue

@@ -802,18 +802,20 @@ export default {
       if (timeEntry === undefined && time.isLuxonDateTime) {
         // search for closest time to datetime if provided as such
         const searchTimes = this.availableTimeEntries.map((e) => {
-          if (e.value?.isLuxonDateTime) {
-            return e.value;
+          const timeValue = Array.isArray(e.value) ? e.value[0] : e.value;
+          if (timeValue?.isLuxonDateTime) {
+            return timeValue;
           }
-          return DateTime.fromISO(e.value);
+          return DateTime.fromISO(timeValue);
         });
         const closestTime = findClosest(searchTimes, time);
         // get back the original unmapped object with value and name
         timeEntry = this.availableTimeEntries.find((e) => {
-          if (e.value?.isLuxonDateTime) {
-            return e.value.ts === closestTime.ts;
+          const timeValue = Array.isArray(e.value) ? e.value[0] : e.value;
+          if (timeValue?.isLuxonDateTime) {
+            return timeValue.ts === closestTime.ts;
           }
-          return DateTime.fromISO(e.value).ts === closestTime.ts;
+          return DateTime.fromISO(timeValue).ts === closestTime.ts;
         });
       } else {
         // Use most recent time since there is none defined in the map timeline
@@ -990,10 +992,12 @@ export default {
         return;
       }
       window.dispatchEvent(new CustomEvent('set-custom-area-indicator-loading', { detail: true }));
-
+      const options = {
+        currentTimeIndex: this.currentTimeIndex,
+      };
       try {
         const custom = await fetchCustomAreaObjects(
-          {},
+          options,
           this.drawnArea.area,
           this.mergedConfigsData[0],
           this.indicator,